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Never Give Up.
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Never Give Up.
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CoderMageFox/README.md

Hi, I'm CoderMageFox 👋


🚀 About Me

I'm an AI-First Startup Architect consuming 300-10000 million tokens daily in production environments. I believe AI-First is the future of software—not AI-assisted, but AI-driven.

As the lead architect, I've migrated our entire tech stack from a Python/Kotlin/Go/Java mix to pure TypeScript—because unified language stacks enable AI to understand, generate, and maintain code far more efficiently.

🎯 What I Do

  • AI-First Architecture: Designing systems where AI is the primary developer, humans handle architecture decisions and quality control.
  • Multi-Agent Orchestration: Building sophisticated agent systems with Claude Code, Ralph Orchestrator, and custom coordination layers.
  • AI Tooling Mastery: Deep expertise in MCP Servers, Skills, Hooks, VibeFlow, Fine-tuning, and production-grade AI workflows.
  • Full-Stack AI Solutions: From data pipelines to AI agents, from backend APIs to frontend interfaces—complete AI product delivery.
  • Open Source Contributor: Active contributor to AI tooling and developer experience projects.

💡 Core Competencies

AI Engineering Stack

  • Multi-agent systems design (Claude Code orchestration, Ralph)
  • MCP Servers, Skills, Hooks, Custom Plugins
  • VibeFlow, n8n, Windmill workflow automation
  • Fine-tuning, Prompt Engineering, RAG systems
  • LiteLLM, Vector DBs, Token routing optimization

Full-Stack Engineering

  • Frontend: React, Next.js, TypeScript
  • Backend: Node.js, TypeScript, Hono
  • Database: PostgreSQL, MongoDB, Supabase
  • DevOps: Docker, CI/CD, Cloud deployment

Daily Reality

  • Token consumption: 300M - 500M / day
  • Primary models: Claude Opus 4.5, GPT-5, Gemini 3.0 Pro
  • AI generates 100%+ of code, humans own architecture and quality

🛠️ Featured Projects

Intelligent CLI router that automatically selects the best AI backend for your tasks. Features smart routing across multiple AI providers (OpenAI, Anthropic, Google Gemini) with automatic fallback and cost optimization.

Tech Stack: Python, Multi-AI Integration, CLI Framework

Highlights:

  • Automatic provider selection based on task complexity
  • Cost-aware routing with budget management
  • Unified interface across different AI providers

A Claude Code plugin for orchestrating complex development tasks through parallel agent coordination. Enables sophisticated task decomposition, parallel execution, and intelligent result merging.

Tech Stack: Shell, Claude Code, Multi-Agent Orchestration

Highlights:

  • Parallel task execution with multiple agents
  • Intelligent result merging and conflict resolution
  • Automated code review and quality checks

💹 NoFx (Contributor)

Open-source Trading OS with pluggable AI brain. Complete pipeline from market data ingestion → AI-powered analysis → automated trade execution.

Tech Stack: Go, AI Integration, Trading Systems

Highlights:

  • Real-time market data processing
  • AI-driven trading strategy generation
  • Multi-exchange support with unified API

🎨 Tech Stack

My Skills

AI & ML: Claude, GPT, Gemini, LiteLLM, LangChain, Vector DBs, RAG Systems

AI Tooling: MCP Servers, Skills, Hooks, Ralph, VibeFlow, Fine-tuning

Automation: n8n, Windmill, Custom Workflow Engines


📊 GitHub Stats


📈 Contribution Graph

CoderMageFox's GitHub activity graph


🌱 What's Next

  • Pushing the boundaries of AI-First software development
  • Expanding multi-agent orchestration with advanced coordination patterns
  • Contributing to open-source AI tooling ecosystem
  • Building next-generation workflow automation systems

📫 Let's Connect


"Never Give Up. Transforming ideas into reality through AI magic."


Pinned Loading

  1. nexus-cli nexus-cli Public

    Python 41 2

  2. claudecode-codex-subagents claudecode-codex-subagents Public

    A Claude Code plugin for orchestrating complex tasks by delegating to multiple parallel Codex agents, then merging and reviewing results.

    Shell 38 3

  3. NoFxAiOS/nofx NoFxAiOS/nofx Public

    AI Trading OS: Multi-AI, multi-exchange trading infrastructure with Strategy Studio.

    Go 10.5k 2.8k

  4. mikeyobrien/ralph-orchestrator mikeyobrien/ralph-orchestrator Public

    An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration

    Rust 1.7k 180